Principal Data Scientist

About Reputation

Reputation has changed the way companies improve their customer experience through feedback. Based in Silicon Valley and founded in 2013, Reputation is the only platform that empowers companies to fulfill their brand promise by measuring, managing, and scaling their reputation performance in real-time, everywhere. Functioning as a business’ eyes and ears in the spaces where customers talk, post, review, and recommend, Reputation AI-powered product stack analyzes vast amounts of public and private feedback data to uncover predictive insights for companies to act on, and improve their online reputations. Visit reputation.com to learn more.

Reputation continues to earn recognition as a trusted leader in both innovation and partnership. Most recently, the company was named an Inc. Power Partner, a distinction awarded to B2B organizations with a proven track record of helping clients thrive. Reputation was also officially Certified™ as a Great Place to Work, reflecting its commitment to cultivating a world-class culture that fuels long-term success for employees and customers alike.

Why work at Reputation?

• Reputation has achieved substantial annual recurring revenue from Global Fortune 1000 companies and continues to grow worldwide.

• We've secured significant funding from A-list venture capital firms such as Bessemer Venture Partner and Kleiner Perkins, including a major equity financing from Marlin Equity Partners in January 2022. 

• Reputation is trusted by more than 250 partners, including Google, Meta, Yelp, Apple Business Connect, Healthgrades and Entrata.

• The platform is used by major automotive OEMs and thousands of their new vehicle dealerships. Additionally hundreds of healthcare systems and their locations, along with top property management firms have integrated Reputation within their organizations.

• Our executive management team is committed to building a performance-based culture where excellence is rewarded and careers are developed.

• Who thrives at Reputation? Managers who embody a player-coach mentality. Employees who value teamwork and cross-functional collaboration. People who emphasize perseverance and hustle over quick wins and luck.

• Our Mission: Help businesses always know what their customers are saying about them and always act on that feedback

We are looking for a Principal Data Scientist who is a hands-on, creative scientific leader to push our AI roadmap forward. You will own high-impact AI/ML initiatives end-to-end, mentor senior/early career data scientists, and work across data engineering, software engineering, and product to ship differentiated, reliable AI products. Our stack includes GCP, Langfuse for LLM observability, Qdrant and OpenAI/Gemini for foundation models. 

Mission

As a Principal Data Scientist, you will develop algorithms to build customer facing products and build models that measure and maximize the value of extensive data sets and lead the creation of production-grade data and AI/ML products.

What you will do

• Lead and own multiple core models and data products, from problem framing and scientific approach through prototyping, rigorous evaluation, productionization, and continuous improvement.

• Ship AI features with measurable business impact; partner with Product, Engineering, Design, Sales, and Operations to identify opportunities, define success metrics, and deliver outcomes.

• Drive advanced ML and statistical methods across the team, including supervised learning, NLP/LLMs, causal inference/experimentation, uncertainty quantification, and model calibration.

• Architect and implement LLM solutions (OpenAI, Gemini) including prompt and tool design, RAG, vector search, function calling/agents, guardrails, and cost/latency optimization.

• Establish robust LLM/ML evaluation and observability: offline and human-in-the-loop evals, golden datasets and rubrics, A/B tests, safety and hallucination metrics, and production monitoring using Langfuse.

• Work with our Engineers to build reliable pipelines and services on GCP with CI/CD, testing, and model governance.

• Mentor and up-level a strong team of data scientists; set scientific and engineering standards, code quality practices, and reusable patterns. Provide technical leadership across teams.

• Communicate complex findings clearly to executives and non-tec